{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T09:47:49Z","timestamp":1793094469139,"version":"4.5.0"},"reference-count":40,"publisher":"BMJ","issue":"2","license":[{"start":{"date-parts":[[2022,6,20]],"date-time":"2022-06-20T00:00:00Z","timestamp":1655683200000},"content-version":"unspecified","delay-in-days":19,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open Sport Exerc Med"],"accepted":{"date-parts":[[2022,6,11]]},"published-print":{"date-parts":[[2022,6]]},"abstract":"<jats:sec>\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>To quantify acute injuries sustained during weightlifting that result in training restrictions and identify potential risk factors or preventative factors in Master athletes and to evaluate potentially complex interactions of age, sex, health-related and training-related predictors of injuries with machine learning (ML) algorithms.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>A total of 976 Masters weightlifters from Australia, Canada, Europe and the USA, ages 35\u201388 (51.1% women), completed an online survey that included questions on weightlifting injuries, chronic diseases, sport history and training practices. Ensembles of ML algorithms were used to identify factors associated with acute weightlifting injuries and performance of the prediction models was evaluated. In addition, a subgroup of variables selected by six experts were entered into a logistic regression model to estimate the likelihood of an injury.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The accuracy of ML models predicting injuries ranged from 0.727 to 0.876 for back, hips, knees and wrists, but were less accurate (0.644) for shoulder injuries. Male Master athletes had a higher prevalence of weightlifting injuries than female Master athletes, ranging from 12% to 42%. Chronic inflammation or osteoarthritis were common among both men and women. This was associated with an increase in acute injuries.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Training-specific variables, such as choices of training programmes or nutrition programmes, may aid in preventing acute injuries. ML models can identify potential risk factors or preventative measures for sport injuries.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1136\/bmjsem-2022-001372","type":"journal-article","created":{"date-parts":[[2022,6,21]],"date-time":"2022-06-21T11:15:26Z","timestamp":1655810126000},"page":"e001372","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":10,"title":["Health challenges and acute sports injuries restrict weightlifting training of older athletes"],"prefix":"10.1136","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9694-9231","authenticated-orcid":false,"given":"Marianne","family":"Huebner","sequence":"first","affiliation":[{"name":"Department of Statistics and Probability, Michigan State University, East Lansing, Michigan, USA"},{"name":"Department of Kinesiology, Michigan State University, East Lansing, Michigan, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenjuan","family":"Ma","sequence":"additional","affiliation":[{"name":"Center for Statistical Training and Consulting, Michigan State University, East Lansing, Michigan, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2022,6,21]]},"reference":[{"key":"2025083112472800000_8.2.e001372.1","doi-asserted-by":"crossref","DOI":"10.1186\/s12889-017-4970-8","article-title":"Sport and ageing: a systematic review of the determinants and trends of participation in sport for older adults","volume":"17","author":"Jenkin","year":"2017","journal-title":"BMC Public Health"},{"key":"2025083112472800000_8.2.e001372.2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2018\/7856823","article-title":"The importance of physical activity exercise among older people","volume":"2018","author":"Langhammer","year":"2018","journal-title":"Biomed Res Int"},{"key":"2025083112472800000_8.2.e001372.3","doi-asserted-by":"crossref","DOI":"10.1186\/s13102-016-0031-3","article-title":"Age profiles of sport participants","volume":"8","author":"Eime","year":"2016","journal-title":"BMC Sports Sci Med Rehabil"},{"key":"2025083112472800000_8.2.e001372.4","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1002\/j.2040-4603.2020.tb00104.x","article-title":"Aging and physiological lessons from master athletes","volume":"10","author":"Tanaka","year":"2019","journal-title":"Compr Physiol"},{"key":"2025083112472800000_8.2.e001372.5","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1097\/TGR.0000000000000091","article-title":"The competitive older athlete: a review of psychosocial and sociological issues","volume":"32","author":"Dionigi","year":"2016","journal-title":"Topics in Geriatric Rehabilitation"},{"key":"2025083112472800000_8.2.e001372.6","doi-asserted-by":"crossref","first-page":"778491","DOI":"10.3389\/fspor.2022.778491","article-title":"How heavy lifting lightens our lives: content analysis of perceived outcomes of masters weightlifting","volume":"4","author":"Huebner","year":"2022","journal-title":"Front Sports Act Living"},{"key":"2025083112472800000_8.2.e001372.7","doi-asserted-by":"crossref","DOI":"10.3390\/ijerph18179343","article-title":"Weightlifting during the COVID-19 Pandemic-A transnational study regarding motivation, barriers, and coping of master athletes","volume":"18","author":"Huebner","year":"2021","journal-title":"Int J Environ Res Public Health"},{"key":"2025083112472800000_8.2.e001372.8","doi-asserted-by":"publisher","DOI":"10.1097\/00042752-200603000-00010"},{"key":"2025083112472800000_8.2.e001372.9","doi-asserted-by":"publisher","DOI":"10.1186\/1479-5868-10-135"},{"key":"2025083112472800000_8.2.e001372.10","doi-asserted-by":"publisher","DOI":"10.1055\/s-2004-819935"},{"key":"2025083112472800000_8.2.e001372.11","doi-asserted-by":"publisher","DOI":"10.1093\/ije\/dyp319"},{"key":"2025083112472800000_8.2.e001372.12","doi-asserted-by":"crossref","DOI":"10.3390\/ijerph182010855","article-title":"When do individuals get more injured? 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